Analysis of wireless network security in internet of things and its applications

Abstract

The study suggests a safety for networks risk analysis utilizing a network of a system to address security issues with the operation of Internet platforms, such as user privacy leaks. The survey system fully utilizes big data, cloud computing, and other high-tech tools to precisely identify potential network security issues and attempt to notify users and relevant departments of any current security issues. Based on this, the survey system is also created as a little program that uses very little memory and can continuously identify the security threats in the network for users. This paper also underlines that to reduce network security accidents, users must not only fully utilize the system for assessing security risks but also develop a strong sense of network security awareness. Channel estimate technology has received a great deal of attention and study as a result of the ongoing Long-term evolution (LTE), adoption and enhancements in global communication technologies in recent years. Channel estimation is crucial for lowering bit error rates and enhancing wireless communication system security. To gain complete channel information, we discuss the two-dimensional DCT (Discrete Cosine Transform) channel estimate approach in this study. The channel estimation method is then simulated and examined. The simulation results demonstrate that the two-dimensional DCT channel estimation method has a more accurate estimation performance and can successfully address the error flat bottom issue in the large delay channel based on DCT transformation. As a result, it can effectively enhance the communication and transmission security of the LTE system.